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Azure Data Lake Analytics - New SaaS Software

Azure Data Lake Analytics Review: Is It The Right Data Warehouse Software For Your Team?

Best for SMB teams · Mid-market · Enterprise

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What is Azure Data Lake Analytics?

Azure Data Lake Analytics is an easy to use analytics job service for quickly processing big data. With no servers to worry about, no virtual machines to manage, and no clusters to tune, you can be sure that your analytics jobs will be completed fast and efficiently. U-SQL, the programming language that powers Azure Data Lake Analytics, gives you the ability to write code once and have it automatically adjusted to work with whatever scale you require. Debugging failures of remote distributed programs is a breeze

Pricing

  • Starts from $2 / hour

  • Free Trial available

Best For

Suited for solo users, small teams, SMBs, and enterprise

Azure Data Lake Analytics was reviewed internally using user feedback, in-house testing, and market research to assess its performance, reliability, and user experience. Learn how we review products and our evaluation process.

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Who should consider Azure Data Lake Analytics

Team types
Large Enterprises, Medium Business

Why teams choose Azure Data Lake Analytics

  • Processes massive parallel data transformations quickly with on-demand jobs and no servers to manage.

  • Automatic scaling handles large data volumes without worrying about provisioning hardware.

  • U-SQL blends SQL and C#, making it relatively easy to learn for those with SQL or Hadoop backgrounds.

Is Azure Data Lake Analytics right for you?

Pros and cons

Azure Data Lake Analytics pros and cons

  • Azure Data Lake Analytics pros
  • Processes massive parallel data transformations quickly with on-demand jobs and no servers to manage.

  • Automatic scaling handles large data volumes without worrying about provisioning hardware.

  • U-SQL blends SQL and C#, making it relatively easy to learn for those with SQL or Hadoop backgrounds.

  • Azure Data Lake Analytics cons
  • There is a learning curve and platform expertise is often needed to get started.

  • Troubleshooting and debugging in a distributed environment can be difficult, sometimes requiring Azure support tickets.

4.2/5 rating
36 verified reviews
Free trial available

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Still comparing?

See how it stacks up

Compare Azure Data Lake Analytics side-by-side with top Data Warehouse Software alternatives.

Qubole
Easy Insight
Qualified
+9 more
Compare alternatives

What is the pricing of Azure Data Lake Analytics?

Free TrialAvailableTry Now →
PricingStarts from $2 / hour
Pricing Model
SubscriptionQuotation Based

Weighing your options?

Not sure if Azure Data Lake Analytics fits your budget?

Azure Data Lake Analytics reviews and ratings

Buyer sentiment

Buyer sentiment is positive across 36 reviews, with strong overall satisfaction.

What buyers like

  • Processes massive parallel data transformations quickly with on-demand jobs and no servers to manage.
  • Automatic scaling handles large data volumes without worrying about provisioning hardware.
  • U-SQL blends SQL and C#, making it relatively easy to learn for those with SQL or Hadoop backgrounds.

Common complaints

  • There is a learning curve and platform expertise is often needed to get started.
  • Troubleshooting and debugging in a distributed environment can be difficult, sometimes requiring Azure support tickets.
  • Pricing for storage is seen as slightly higher than alternatives like Blob storage.

4.2

Very Good

Based on 35 ratings & 36 reviews

Are you using Azure Data Lake Analytics?

Rating Distribution

Excellent

(28)

Very Good

(7)

Good

(0)

Poor

(1)

Terrible

(0)

What users are saying

SL

Sam L

02/04/23

5 out of 5

"The power house of data management"

What do you like best about Azure Data Lake Analytics? Fast and scalable solution for all industries that deal with data processing. What do you ...

Read more

AC

Abhishek C

01/07/22

4.5 out of 5

"Great service to manage your big data needs"

What do you like best about Azure Data Lake Analytics? Loved the ability to process massive parallel data transformation and support for multiple ...

Read more

AU

Anonymous User

10/15/21

4 out of 5

"Great Analytics Tool Built Into the Microsoft Environment"

What do you like best about Azure Data Lake Analytics? Simplicity, easy interface, built into the Microsoft platform and great for teams that work ...

Read more

AU

Anonymous User

10/15/21

4 out of 5

"Great Analytics Tool Built Into the Microsoft Environment"

What do you like best about Azure Data Lake Analytics? Simplicity, easy interface, built into the Microsoft platform and great for teams that work ...

Read more

AU

Anonymous User

07/08/21

5 out of 5

"Azure Data Analytics"

What do you like best about Azure Data Lake Analytics? An easy way to store big data for future analysis. secure and compliant. Consolidating your big ...

Read more

AY

Abhishek Y

08/28/20

5 out of 5

"Complete Data lake review"

What do you like best about Azure Data Lake Analytics? Data lake allows to us to connect to various source like power bi,data bricks What do you ...

Read more

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What are the features of Azure Data Lake Analytics?

40%

Feature coverage

8 of 20 tracked features

The access control structure is a crucial characteristic that distinguishes a digital asset management system from other storage systems. Yo…

Analytics is a math-based field that aims to uncover patterns in marketing data to gain actionable knowledge that can be used in your market…

Auditing is a feature of software that enables organizations to monitor and review the integrity, accuracy, and reliability of their data an…

Image processing is the use of computer algorithms to manipulate or analyze digital images. The process typically involves acquiring an imag…

Machine learning is a powerful technology that allows computers to learn and improve from data without being explicitly programmed. This inn…

Multi-factor authentication (MFA) is a security mechanism that verifies a user's identity for a login or other transaction by requiring mult…

A social media sentiment analysis tells how people on social media feel about your company. Sentiment analysis considers feelings and opinio…

Single sign-on (SSO) allows users to log in to various applications with a single set of credentials, making it safe and straightforward. It…

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Help & Contact

Azure Data Lake Analytics Support Options

Customer ServiceBusiness HoursOnline
LocationRedmond, Washington

Frequently Asked Questions About Azure Data Lake Analytics

Common questions buyers ask before choosing Azure Data Lake Analytics.

Azure Data Lake Analytics is a Data Warehouse Software. Azure Data Lake Analytics offers Image Processing, Multi-factor Authentication, Sentiment Analysis, Access Control, Analytics and many more functionalities.

Buyers commonly note the following limitations of Azure Data Lake Analytics: There is a learning curve and platform expertise is often needed to get started.; Troubleshooting and debugging in a distributed environment can be difficult, sometimes requiring Azure support tickets.; Pricing for storage is seen as slightly higher than alternatives like Blob storage..

Some top alternatives to Azure Data Lake Analytics includes Qubole, Easy Insight, Qualified, Workvivo and Dremio.

Azure Data Lake Analytics offers Free Trial, Subscription, Quotation Based pricing models

We don't have information regarding integrations of the Azure Data Lake Analytics as of now.

The starting price of Azure Data Lake Analytics is $2hour

Ready to try it?

Get started with Azure Data Lake Analytics

Start your free trial — no credit card required.

About the reviewer

Rajat Gupta is the founder of Spotsaas. Over the past two years, he has reviewed 2,000+ tools across CRM, HR, AI, and finance — applying hands-on product research and a background in commerce and the CFA program to evaluate software through a business and ROI lens. His goal: help teams make software decisions they won't regret.

Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].